Cybersecurity for Cloud-Native Environments: A Practical Framework

Introduction

As more organizations across the United States transition to cloud-native architectures, cybersecurity has evolved from a technical concern to a strategic business priority. The flexibility and scalability of cloud-native systems — built on containers, microservices, and dynamic infrastructure — have unlocked new possibilities for innovation.

Yet, these same features introduce unique security challenges. Traditional perimeter defenses no longer suffice when workloads shift across hybrid and multi-cloud environments. To safeguard modern operations, companies must adopt a practical, adaptable, and continuous security framework designed specifically for the cloud-native world.

1. Rethinking Security for Cloud-Native Systems

Cloud-native environments are dynamic — workloads spin up and down within seconds, and components communicate through APIs across distributed networks. Security must therefore move from static defenses to dynamic, embedded protection.

Instead of securing the perimeter, forward-thinking organizations secure the workload itself.
This means integrating security controls directly into the development pipeline, where every new container, function, or microservice is vetted for compliance and vulnerabilities before deployment.

2. The Zero-Trust Foundation

At the heart of modern cloud security lies the Zero Trust model — a philosophy built on one principle: never trust, always verify.
Every connection, whether internal or external, must be authenticated and authorized.

In a cloud-native environment, this involves:

• Strong identity and access management (IAM)

• Multi-factor authentication (MFA)

• Least-privilege access policies

• Continuous monitoring of API and network activity

Zero Trust ensures that no single misconfiguration or compromised credential can jeopardize the entire system.

3. Secure the CI/CD Pipeline

Speed is the defining strength of cloud-native development — but it can also be a vulnerability. Automated pipelines accelerate innovation, yet they can push insecure code into production if not carefully governed.

Organizations should embed security testing throughout the DevOps cycle (DevSecOps) by:

• Running vulnerability scans during build and deployment stages

• Using container image signing and verification

• Enforcing compliance gates before release

• Monitoring dependencies and open-source libraries for risks

Security in CI/CD isn’t a checkpoint — it’s a continuous, automated safeguard that evolves with each iteration.

4. Container and Kubernetes Security

Containers and orchestration platforms like Kubernetes have revolutionized deployment, but they introduce complex layers of exposure.
Best practices include:

• Regularly patching container images and base OS layers

• Isolating workloads with namespaces and network policies

• Using role-based access control (RBAC) for Kubernetes clusters

• Scanning container registries for vulnerabilities

A secure Kubernetes environment should have visibility, control, and auditability across every node, pod, and API connection.

5. Observability and Incident Response

Cloud-native security doesn’t stop at prevention — it thrives on detection and response.
By integrating observability tools that combine metrics, logs, and traces, organizations gain real-time visibility into performance and potential threats.

Advanced analytics and AI-driven insights can help teams detect anomalies early, trigger automated responses, and reduce dwell time — the window between breach and containment.

6. Shared Responsibility in the Cloud

A common misconception among enterprises is that cloud providers handle all aspects of security. In reality, security is shared.
While providers like AWS, Azure, and Google Cloud secure the underlying infrastructure, the customer remains responsible for application-level, identity, and data protection.

This requires clear policies around:

• Data encryption at rest and in transit

• Backup and recovery strategies

• Compliance mapping (HIPAA, SOC 2, ISO 27001, etc.)

• Ongoing employee training on cloud security best practices

7. Building a Culture of Continuous Security

Technology alone cannot protect modern businesses — people and process complete the framework.
Organizations that embed cybersecurity awareness into their culture build stronger, more proactive teams. Cross-functional collaboration between developers, operations, and security leaders ensures that protection evolves alongside innovation.

Regular threat simulations, red team exercises, and security retrospectives help maintain readiness in an ever-changing environment.

Conclusion

Cloud-native technologies have transformed how American enterprises innovate, scale, and compete — but they also require a new mindset toward protection.
By embracing a Zero Trust architecture, integrating security into DevOps, and prioritizing observability and education, organizations can establish a practical cybersecurity framework built for today’s fast-moving digital landscape. Let The Trevi Group help you build your organization to make that happen.

In the modern economy, security is not a cost — it’s a catalyst for trust, resilience, and sustainable growth.

The Trevi Group | “Executive Search for Technology Professionals” | www.TheTreviGroup.com

#thetrevigroup #informationtechnology #cloud #cybersecurity #cloudsecurity

The Mid-Career Pivot: How Network Engineers Can Transition into Cloud Architecture Roles

Introduction

For decades, network engineers have formed the backbone of enterprise IT — designing, securing, and maintaining the systems that keep organizations connected. But as cloud computing continues to reshape how businesses operate, many mid-career professionals are asking the same question: “How do I evolve my skills and move into a cloud architecture role?”

The good news? The transition from network engineering to cloud architecture is not only achievable — it’s a natural next step for those ready to embrace modern infrastructure design and hybrid environments.

Understanding the Shift: From Physical to Virtual Infrastructure

Traditional network engineering has focused on routers, switches, firewalls, and on-premises environments. Cloud architecture, by contrast, requires engineers to think in terms of virtual networks, automated scaling, and distributed systems.

In the cloud, your “data center” becomes software. Concepts like load balancing, network segmentation, and security still apply — but they’re executed through code and cloud services rather than physical hardware.

That’s why network engineers bring a huge advantage: they already understand the fundamentals of connectivity, security, and performance — the core of every cloud environment.

Step 1: Strengthen Your Cloud Fundamentals

Before diving into advanced cloud architecture, start by mastering the core principles of leading platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
Key areas to focus on include:

• Virtual networks and subnets

• Cloud storage and compute services

• Identity and access management (IAM)

• Load balancing and auto-scaling

• Monitoring, logging, and cost optimization

Most professionals begin with certifications like AWS Certified Solutions Architect – Associate or Microsoft Azure Administrator. These credentials demonstrate both technical understanding and commitment to continuous learning — something employers highly value.

Step 2: Learn Infrastructure as Code (IaC)

In the cloud world, automation is everything. Tools such as Terraform, AWS CloudFormation, and Ansible allow engineers to build and manage environments programmatically.

For network engineers used to manual configuration, learning IaC might feel unfamiliar at first — but it’s a game changer. It ensures consistency, accelerates deployment, and allows cloud architects to manage large-scale systems with precision.

The more comfortable you become with scripting and automation, the faster you’ll bridge the gap between traditional networking and modern cloud architecture.

Step 3: Develop a DevOps Mindset

Cloud architecture sits at the intersection of development and operations. Understanding DevOps practices — CI/CD pipelines, containerization (Docker, Kubernetes), and observability — helps engineers design infrastructure that supports agile development and rapid innovation.

The key is to move from a “maintenance” mindset to a “continuous improvement” mindset. Cloud architects don’t just keep systems running — they design frameworks that enable teams to innovate faster, safer, and smarter.

Step 4: Build Real-World Experience

Certifications and theory are valuable, but nothing replaces hands-on practice.
Here’s how to gain experience even before landing a cloud architect title:

• Set up personal labs using AWS Free Tier or Azure Sandbox environments.

• Contribute to open-source projects focused on cloud networking or automation.

• Volunteer for cloud migration initiatives within your current organization.

• Shadow a cloud architect or collaborate on hybrid cloud implementations.

Each project builds credibility and confidence — two essentials when presenting yourself as a cloud-focused professional.

Step 5: Communicate Value Beyond Technology

Transitioning to a cloud architecture role isn’t just about technical expertise — it’s about understanding business strategy, cost management, and scalability.

Cloud architects work closely with executives and project managers to align technical decisions with business outcomes. Network engineers making the pivot should practice articulating how technology enables growth, resilience, and efficiency — not just how it functions.

Strong communication and presentation skills are as critical as technical mastery in these roles.

Step 6: Partner with Specialized Recruiters

Career transitions are smoother when you have the right guidance. Partnering with an experienced IT and cloud recruitment firm like The Trevi Group can help you navigate the market, identify roles that match your experience, and position your resume effectively.

Recruiters who specialize in network and cloud placements understand what hiring managers look for — and can help you highlight the transferable skills that make you a top candidate.

Conclusion

The journey from network engineer to cloud architect is not a leap — it’s a strategic evolution. Your experience designing secure, high-performing networks forms the foundation for success in the cloud.

By embracing new tools, expanding your cloud knowledge, and aligning your technical skills with business strategy, you can step confidently into a career that’s shaping the future of IT.

At The Trevi Group, we help talented engineers take that next step — connecting them with organizations that value innovation, expertise, and forward-thinking leadership.

Your next chapter in the cloud starts here.

The Trevi Group | “Executive Search for Technology Professionals” | www.TheTreviGroup.com

#thetrevigroup #recruitingtrends #informationtechnology #employmenttrends #jobmarket #hiringtrends

Preparing Your Manufacturing Plant For Edge Computing

Edge computing in manufacturing has become popular as an Industry 4.0 technology solution. What was once the domain of cloud computing is now met by a competing force that redefines manufacturing operations. 

Today, decision-makers must anticipate the fresh roles and responsibilities created by these smart manufacturing systems.

In this guide, we take a close look at the tech trend by identifying the difference between edge computing and cloud computing, and their influence on plant floor operations.  

Edge Computing in Manufacturing

The primary difference between edge computing and cloud-based systems lies in their distributed structure. 

Cloud computing stores data on a centralized server, often located far from end users. In comparison, edge computing is located at the “edge” of a network, providing quicker access to sensors, machines, and devices in manufacturing plants.   

How Edge Computing Impacts Plant Floor Operations

The proximity of edge computing empowers plant floor teams with real-time data processing, unlike cloud computing, which continues to face network latency issues. As such, manufacturing teams have leveraged the new technology to expedite time-sensitive decisions critical to their plant operations. 

Implementing these solutions can enhance operational efficiency and consistency in predictive maintenance strategies. Industry reports indicate that manufacturing teams utilizing edge computing have seen operational efficiencies increase by 20% through automation and a decrease in downtime. 

Emerging Roles in Decentralized Manufacturing Operations

Edge computing has led to the rise of new industry standards in the manufacturing ops talent search. It is strategic for manufacturing leaders to focus on cross-skilling and upskilling in the following talent areas:

Data Analysts and Edge Computing Specialists

Hires may include cloud experts familiar with the latest analytical tools repurposed for edge systems. 

Cybersecurity Experts

Companies would need to gradually heighten cybersecurity in manufacturing. For instance, operational initiatives may include compliance and security controls and measures, as well as the development of edge-focused infrastructure.  

Maintenance Technicians

On-the-ground service teams may see a rising need for IoT in manufacturing to secure data transfers between edge servers and endpoint devices. Specialized Edge Computing Trainers – Facility leaders could witness an increased demand for edge-certified trainers. These learning and development (L&D) hiring trends would equip operational teams with the skills to adapt to the decentralized manufacturing climate. 

Best Practices for Recruiting in the Evolving Manufacturing Landscape

Experts project the growth of the global smart manufacturing market from $349.48 billion in 2024 to $998.99 billion by 2032, at a CAGR of 14.2%. Manufacturing employers can stay ahead of the ensuing workforce curve by optimizing their hiring strategies with multi-channel sourcing. 

For instance, employers should adopt a comprehensive hiring process that spans social media platforms, conventional job boards, and IT schools. These could attract the right job fit based on company culture and edge computing competencies.

It is also strategic for companies to enhance their employer branding during the technological shift toward decentralized manufacturing operations. Workforce trends suggest that structured onboarding in manufacturing can improve employee retention by 69% and raise productivity by 50%.

Recruitment campaigns could improve with standardized interview methods and job descriptions. Particularly, hiring teams could emphasize the long-term career fulfillment associated with edge computing roles.

For example, companies may craft JDs that promote clear edge computing-related progression pathways and training opportunities.   

Training and Development Strategies for Existing Workforce

Manufacturing employers can enhance employee management during tech adoption by integrating streamlined hiring processes with systematic training initiatives. Continuous learning programs can help encourage the existing workforce to stay confident and efficient through the operational overhaul.  

Employers could also collaborate with third-party technological institutions in overseeing company-wide upskilling. Expert-led partnerships during the adoption phase ensure that teams follow the latest industry standards. Management teams and new hires alike can acquire mentorship during these collaborations to maintain best practices for manufacturing hiring.

Preparing Your Manufacturing Plant For Edge Computing

Edge computing has reshaped manufacturing through the continuous advancement of 4.0 technologies. And now, hiring teams face a critical juncture where they need to update their workforce engagement techniques to achieve the best outcomes. 

The Trevi Group (MRINetwork)

Proactive manufacturing talent acquisition, which combines a comprehensive sourcing strategy, collaboration, and active learning, can attract top talent.  

Visit The Trevi Group to learn how your team can succeed in the edge computing era through strategic workforce development. 

The Trevi Group | “Executive Search for Technology Professionals” | www.TheTreviGroup.com

#thetrevigroup #recruitingtrends #informationtechnology #employmenttrends #jobmarket #hiringtrends #manufacturing #edgecomputing

Beyond the Code: Why Tech Leaders Must Now Hire for Ethics, Regulation, and AI Governance

There is no denying the rapid integration of artificial intelligence into business operations. For many companies, AI technology is resulting in greater operational efficiency, enhanced customer experiences, and improved data analytics. 

However, there are also escalating ethical and regulatory challenges that accompany the advancements in AI. From concerns surrounding bias and discrimination to issues of accountability, these considerations are paramount moving forward—especially when hiring new talent. 

There is a necessity for technology leaders to incorporate ethics, regulation, and AI governance into their tech hiring strategies, starting today. Here’s why and how to get started.

The Current Landscape of AI in Business

AI adoption rates are growing exponentially across various industries. According to the latest McKinsey survey, 78% of respondents reported using AI in at least one business function. That figure is up from 72% in early 2024 and 55% the previous year. 

The applications of AI are far-reaching, which is why so many industries are leveraging AI technology. In healthcare, AI is utilized for a wide range of applications, from drug discovery to AI-powered diagnostics. In finance, it supports fraud detection and risk management. In retail, it enhances product recommendations and optimizes inventory management—and the list goes on. 

However, as these applications and use cases grow, so do the potential regulatory and ethical issues. 

Emerging Ethical and Regulatory Challenges

There are many ethical and regulatory challenges stacking up as AI becomes more commonplace in business settings, including the following:

• The rapid evolution of AI is leading to challenges surrounding security risks, implementation costs, reliability, a widening skills gap, and more. 

• Instances of AI-induced biases leading to public backlash. There are instances of AI systems learning and amplifying biases in their training data, which can lead to discriminatory or unfair outcomes if not properly managed. 

• Data privacy concerns and breaches associated with AI systems remain high, and many companies have yet to develop ethical frameworks. 

The Business Imperative for Ethical AI Governance

AI governance is no longer something companies can put off—it is imperative. 

Based on what AI is capable of and what it’s already doing, it’s no longer about what you can do with AI; it’s more about how you can use it responsibly. This consideration is where AI governance comes into play—a framework that ensures AI is used ethically, safely, and transparently.

For those who do not remain compliant, financial repercussions are a reality. Legal penalties can be severe, including instances where the FCC has issued multi-million-dollar fines.

While it’s important to remain compliant, strong governance is now more than that. Having policies and practices in place is now a competitive advantage. It impacts everything from brand reputation and consumer trust to the ability to innovate and lead with confidence. 

It’s essential to be aware of the potential consequences so that you can take the appropriate action. Ethical AI, which fosters innovation and a competitive advantage, is a crucial area to focus on—especially when evaluating and addressing talent gaps.

The Talent Gap in AI Ethics and Governance

Even if companies have the strategies and policies in place, they need the right people to ensure success. 

There is a clear shortage of professionals in AI ethics and governance. In a recent survey, it was reported that 60% of public sector IT professionals cite a shortage of artificial intelligence skills as their top challenge to implementing AI. This figure is alarming, as companies may be implementing AI technology without the right people in place to manage ethical and regulatory concerns. 

Just some of the challenges organizations face in recruiting for these roles include a lack of qualified talent, the complexity of the systems they implement, and the need for specialized skill sets, which are in short supply. 

Strategic Approaches to Ethical Hiring in Tech Leadership

So, what are he next steps? Here are some tips. 

• Develop comprehensive job descriptions emphasizing ethical and regulatory expertise.

• Incorporate ethics and governance assessments into the hiring process.

• Foster a culture that values and prioritizes ethical considerations in technology development..

Take Action Today

Today, those in tech leadership roles must prioritize ethics, regulation, and AI governance in their tech hiring practices.

Unsure where to begin?

The Trevi Group can help you develop the talent and recruitment strategies you need to fill critical positions. Learn more about our talent solutions and dive deeper into these resources:

• Beyond the Algorithm: How HR Leaders Can Leverage AI Without Losing the Human Advantage

• Zero Trust Architecture & Cybersecurity Hiring Trends in the UK

• Reskilling the Future: How Banking Leaders Can Prepare Talent for the AI-Powered Era

The Trevi Group | “Executive Search for Technology Professionals” | www.TheTreviGroup.com

#thetrevigroup #recruitingtrends #informationtechnology #employmenttrends #jobmarket #hiringtrends

Hiring Your Next Executive? Why Tech Fluency Is Now a C-Suite Imperative

Technology leadership is no longer about hiring an experienced Chief Technology Officer and letting them deal with all things digital.

Instead, evolving markets require tech-savvy executives in every C-suite position. Corporate innovation is only possible by balancing business acumen with an understanding of emerging technologies like artificial intelligence and machine learning, and their associated impacts on business strategy.

Read on to discover why organizational growth is dependent on digital literacy and embrace these tech-savvy executive search best practices.

The Rising Importance of Tech Fluency in C-Suite Executives

Executive competencies have always included aspects like leadership, honesty, transparency, courage, and innovation. Today, innovation comes in the form of digital advancement, from AI-powered customer service solutions to automated employee payroll tools. Tech fluency is the ability to understand these concepts and why they matter.

A recent study found that only a fifth of all executives were tech fluent. Slightly more CEOs met the benchmark for digital fluency at 23%.

These low fluency rates can be devastating to organizations large and small. Why? Research experts at Deloitte state that a tech-savvy board creates a “common language” between executives, managers, and technology professionals, opening up more tech-based opportunities for innovation and strategization.

Challenges of Tech Fluency in Executive Leadership

Growing demand for tech-fluent executives is outstripping the volume of qualified candidates. Leadership development can be one solution, as can working with an expert partner to hire directly from tech-focused talent pools.

Existing executives may be resistant to learning new tech skills, believing that others can take that responsibility or that it’s too difficult. Collaborative approaches to upskilling and highlighting the benefits of tech-first leadership, such as innovation, growth, and a competitive edge, can disrupt those objections.

Tech-Aware Hiring in the C-Suite

What tech-aware attributes should C-suite talent search experts look for in each type of executive?

• CEO: Effective CEOS will have a clear digital vision, an understanding of AI strategy, and strive to foster a culture of innovation

• CFO: Finance executives require relevant tech stack literacy and the ability to utilize technologies like automation for forecasting and budgeting

• COO: Operational leaders need to understand workflow digitization, and in industries like manufacturing and engineering, may need to understand robotics and software connected to supply chain systems

• CHRO: HR leaders should understand applicant tracking systems and other HR tools, be able to utilize workforce analytics, and be comfortable crafting hybrid working strategies

• CMO: Modern marketing requires an understanding of AI-powered audience segmentation and targeting tools, knowledge on building martech (marketing technology) stacks, and the ability to utilize big data and business intelligence (BI) platforms

• CIO/CTO: Chief information and technology officers are naturally tech fluent, and need to balance this with an understanding of business operational needs and people skills

Leadership development programs can help build your C-suite’s technical aptitudes, while strategic executive hiring initiatives ensure technological skills are a foundational requirement for your leadership team.

What Tech Fluency Actually Looks Like

Digital literacy isn’t just about knowing what AI means or how to use the company’s shared drive. Tech-savvy executives should understand the potential and limitations of the technologies they’re introducing. They should also have a grasp on the possible risks, such as the ethical concerns of bias in AI.

Ideally, your digitally minded C-suite team should have no problems communicating with your technical teams, such as IT support or DevOps.

Hiring Best Practices: How Executive Recruiters Assess Tech Fluency

So, how should recruiters assess tech fluency when hiring executives? They could employ interview questions such as:

• Give us an example of when integrating a new technology impacted your previous team/business

• Define tech terms such as AI, ML, analytics, and big data

• Explain how business intelligence benefits your sales and marketing teams

Candidates who seem flustered when presented with technical terms may simply be unfamiliar with the concept. Consider explaining what the term means in brief and seeing if they immediately see the potential.

A tendency to brush off technical terminology as if it doesn’t matter, or insist that it’s the realm of the CTO/CIO could be major red flags. Tech-phobic executives won’t help your organization thrive in a digital-first landscape.

Tech-Savvy Executive Recruitment Support Via Talent Specialists

Executive recruitment is no longer about simply finding the best business leader. Digital transformation and continuous business growth require tech-focused leaders who keep their finger on the pulse of technological advancement.

Discover how to attract C-suite members who combine business and technology leadership. Connect with The Trevi Group to find out more.

The Trevi Group | “Executive Search for Technology Professionals” | www.TheTreviGroup.com

#thetrevigroup #recruitingtrends #informationtechnology #employmenttrends #jobmarket #hiringtrends #ITleadership #cio #cto

Vulnerability Management Reimagined: From Overwhelm to Operational Excellence

The Hidden Struggle Behind Vulnerability Management

For many organizations, vulnerability management feels like an endless uphill battle. New threats appear daily, reports stack up, and security teams often find themselves drowning in alerts. Instead of driving progress, the process can become overwhelming—leaving IT and security leaders with more questions than answers. Where do we begin? Which risks matter most? How do we keep pace without burning out?

Shifting the Focus: From Volume to Value

The problem isn’t just the number of vulnerabilities—it’s the lack of prioritization. Not every patch, update, or warning carries the same weight. By reimagining vulnerability management as a value-driven process rather than a box-ticking exercise, organizations can shift focus from fixing “everything” to fixing what matters most. This means identifying vulnerabilities that pose the greatest business risk and addressing them first.

The Power of Smart Prioritization

Imagine walking into a room filled with hundreds of blinking alarms. The noise would be deafening, but not every alarm signals a crisis. Smart prioritization—through contextual risk assessment, asset criticality, and business impact—helps teams separate background noise from the real threats. This not only reduces overwhelm but empowers teams to act with confidence and clarity.

Automation: The Game-Changer

Manual tracking and remediation are no longer realistic. Automation brings order to the chaos. Modern vulnerability management platforms can scan, sort, and even initiate patching at speed and scale, freeing human teams to focus on high-level strategy. Automation doesn’t replace expertise—it amplifies it, ensuring teams can respond faster without sacrificing precision.

Building Collaboration Beyond IT

Vulnerability management is not just an IT issue; it’s an organizational challenge. True operational excellence happens when IT, security, and business leaders work together. Clear communication about risk, impact, and remediation timelines turns vulnerability management from a siloed headache into a shared responsibility that strengthens the entire business.

Measuring Progress, Not Just Activity

Too often, success is measured by the number of vulnerabilities “closed.” But the real measure of excellence lies in risk reduction, faster response times, and resilience against real-world threats. By redefining success metrics, organizations can ensure vulnerability management drives meaningful progress instead of busy work.

The Future: From Reactive to Proactive

The most effective organizations are those that evolve from firefighting to foresight. By embracing smarter tools, risk-driven prioritization, and collaborative culture, vulnerability management transforms from overwhelming chaos into a structured pathway toward operational excellence. The goal isn’t perfection—it’s progress, resilience, and the confidence to face whatever comes next.

Final Thought

Vulnerability management reimagined is about more than patching—it’s about empowering teams, protecting what matters, and creating a proactive security culture. When organizations move from overwhelm to operational excellence, they unlock not just stronger defenses but also greater peace of mind. Contact The Trevi Group if you need help find talent that can assist you with this challenge.

The Trevi Group | “Executive Search for Technology Professionals” | www.TheTreviGroup.com

#security #cybersecurity #thetrevigroup #recruitingtrends #informationtechnology #employmenttrends #jobmarket #hiringtrends

Edge Computing vs Cloud: What IT Leaders Need to Know in 2026

The Shifting IT Landscape

The digital world is evolving faster than ever. From AI-driven applications to real-time data processing, businesses are under constant pressure to deliver seamless experiences. For IT leaders, the conversation is no longer just about moving to the cloud—it’s about understanding where edge computing fits into the strategy. In 2026, the balance between cloud and edge is shaping up to be one of the biggest decisions technology leaders must make.

Cloud: Still the Backbone of Digital Transformation

Cloud computing remains the foundation of modern IT infrastructure. It offers scalability, flexibility, and cost-efficiency that traditional on-premise systems simply cannot match. Companies continue to rely on the cloud for:

• Storing massive volumes of data

• Hosting applications with global reach

• Leveraging advanced tools like AI, machine learning, and analytics

For organizations with distributed teams or complex software ecosystems, cloud platforms remain the go-to solution. Yet, as the demand for instant responsiveness grows, cloud alone isn’t enough.

The Rise of Edge Computing

Edge computing is stepping into the spotlight as the perfect complement to the cloud. Instead of sending all data to distant servers, edge technology processes information closer to where it’s generated—whether that’s a factory floor, a hospital, or even inside a self-driving car.

This localized processing means faster insights, reduced latency, and improved reliability. In industries like healthcare, manufacturing, logistics, and retail, edge computing is enabling real-time decision-making where every second matters.

Why 2026 Is a Pivotal Year

By 2026, edge adoption isn’t just experimental—it’s becoming mainstream. Organizations are no longer asking “Should we adopt edge?” but rather “How do we integrate edge with our cloud systems?” IT leaders are expected to design hybrid strategies that combine the scale of cloud with the speed of edge.

Consider scenarios like smart cities or 5G-powered applications—these require real-time responsiveness that the cloud alone can’t provide. Edge computing fills that gap while still leaning on the cloud for heavy storage, advanced analytics, and long-term scalability.

Key Considerations for IT Leaders

To navigate this shift, leaders must evaluate:

• Use Cases: Identify where latency, bandwidth, and real-time insights are critical.

• Security: Ensure edge devices are secure, as decentralized systems can create new vulnerabilities.

• Costs: Balance the investment between cloud expansion and edge infrastructure.

• Integration: Build a seamless bridge between cloud and edge systems rather than treating them as separate silos.

The Future: Cloud and Edge, Not Cloud vs Edge

The conversation isn’t about choosing one over the other. It’s about synergy. The cloud will continue to be the powerhouse for big data and enterprise applications, while edge will act as the enabler of speed, responsiveness, and local intelligence. Together, they create a digital ecosystem that empowers organizations to be faster, smarter, and more resilient.

Final Thought

For IT leaders in 2026, success lies in mastering this balance. Those who see cloud and edge as partners, not rivals, will be best positioned to lead their organizations into the next era of digital innovation. The future belongs to those who can harness both — scaling globally with the cloud while acting instantly with the edge. Contact The Trevi Group if you need assistance finding talent that can accomplish that.

The Trevi Group | “Executive Search for Technology Professionals” | www.TheTreviGroup.com

#cloud #edgecomputing #cloudcomputing #thetrevigroup #recruitingtrends #informationtechnology #employmenttrends #jobmarket #hiringtrends

Strengthening Network Defenses: Five Proactive Strategies for IT Teams

In today’s fast-paced digital world, IT teams are not just problem-solvers—they are the frontline defenders of an organization’s reputation, trust, and future. Cyber threats evolve every day, growing more sophisticated, subtle, and damaging. That’s why simply reacting to attacks isn’t enough anymore. The true strength of a modern IT team lies in being proactive, anticipating challenges before they strike. Let’s explore five powerful strategies that can help IT teams stay one step ahead and safeguard their networks.

1. Build a Culture of Cyber Awareness

Technology can only go so far if the people behind it aren’t alert. Employees often become the weakest link in security, whether it’s clicking on a phishing email or using weak passwords. IT teams should prioritize creating a culture where cybersecurity awareness is second nature. Regular training sessions, engaging simulations, and simple reminders can transform employees into the first line of defense rather than a liability.

2. Embrace Zero Trust Architecture

Gone are the days when organizations could trust everything inside their network walls. The Zero Trust model assumes that every user, device, or application could pose a risk. By verifying every access request—whether it’s from within the office or halfway across the globe—IT teams can dramatically reduce vulnerabilities. Think of it as the digital equivalent of checking IDs at every door, not just the main entrance.

3. Prioritize Regular Patch Management

Cybercriminals are quick to exploit outdated systems, and neglected patches are like open doors inviting them in. IT teams must stay vigilant with patch management, ensuring that operating systems, applications, and devices are updated on time. Automating this process not only saves time but also closes security gaps before they become a crisis. It’s a small step that creates a huge shield.

4. Strengthen Endpoint Security

With hybrid and remote work becoming the norm, laptops, smartphones, and tablets have multiplied access points to company data. Each endpoint is a potential entryway for cyberattacks. Deploying strong endpoint protection, enforcing device encryption, and enabling multi-factor authentication help keep these gateways secure. IT teams must remember—if every door is locked, the chances of a break-in fall dramatically.

5. Proactive Monitoring and Threat Hunting

Instead of waiting for alarms to go off, forward-thinking IT teams actively hunt for signs of unusual activity. Proactive monitoring, backed by tools like intrusion detection systems and AI-driven analytics, allows early detection of potential breaches. By spotting anomalies before they spiral into full-blown attacks, teams can respond with speed and precision. In cybersecurity, time is not just money—it’s survival.

The Bottom Line

Strengthening network defenses isn’t about building walls higher; it’s about building smarter. IT teams that stay proactive create a resilient ecosystem where threats are minimized, and confidence is maximized. By embedding awareness, adopting Zero Trust, keeping systems patched, protecting endpoints, and monitoring actively, organizations empower their IT teams to lead with foresight, not fear.

In the end, proactive strategies don’t just defend networks — they build trust, ensure business continuity, and give organizations the confidence to innovate boldly in a connected world. Contact The Trevi Group now if you need assistance in finding talent that can strengthen your network defenses.

The Trevi Group | “Executive Search for Technology Professionals” | www.TheTreviGroup.com

#networkengineering #networksecurity #zerotrust #thetrevigroup #recruitingtrends #informationtechnology #employmenttrends #jobmarket #hiringtrends

Beyond Migration: Unlocking the Full Potential of Cloud Optimization

For many organizations, moving to the cloud was once the finish line—a milestone signaling modernization and agility. But today, migration is just the first step. The real value lies in what happens after the move: optimizing how the cloud is used to deliver speed, efficiency, and innovation. Cloud optimization is not about simply existing in the cloud; it’s about thriving there.

From Cost Center to Value Driver

One of the most immediate opportunities in cloud optimization is cost management. Businesses often migrate quickly without fully considering usage patterns, leading to unexpected expenses. Optimization ensures resources match real needs—right-sizing workloads, leveraging reserved instances, and eliminating underutilized services. The result is a shift from viewing the cloud as a costly necessity to recognizing it as a driver of measurable business value.

Performance That Fuels Innovation

A well-optimized cloud environment goes beyond saving money—it powers performance. Faster load times, seamless scalability, and greater reliability create the foundation for innovation. When systems run smoothly, teams are free to experiment, adopt new technologies, and build solutions that set them apart from the competition. Optimization ensures that cloud infrastructure isn’t a bottleneck but a launchpad for growth.

Security and Compliance Without Compromise

As businesses handle more sensitive data in the cloud, security cannot be an afterthought. Optimization involves embedding advanced security controls, monitoring tools, and compliance frameworks directly into the cloud environment. This not only minimizes risk but also provides peace of mind, allowing organizations to innovate with confidence. A secure, optimized cloud ensures that agility never comes at the expense of safety.

Empowering People, Not Just Processes

At its core, cloud optimization isn’t only about technology—it’s about people. Employees benefit from faster tools, smoother collaboration, and access to data that drives smarter decisions. With the right optimization strategies, teams work more efficiently, creativity flourishes, and job satisfaction grows. A people-first approach ensures that the full potential of the cloud is unlocked across every layer of the organization.

Continuous Optimization for Continuous Growth

The cloud is not static, and neither is optimization. Regular monitoring, fine-tuning, and adopting new innovations keep businesses ahead of the curve. By treating optimization as an ongoing practice rather than a one-time project, organizations future-proof their technology and maintain a competitive edge in an ever-changing digital landscape.

Final Thoughts: Beyond the First Step

Cloud migration was the beginning, not the end. To truly capture the promise of the cloud, organizations must focus on optimization—turning infrastructure into an engine for performance, security, innovation, and people empowerment. Going beyond migration unlocks not just efficiency, but the ability to grow, adapt, and lead in a digital-first world. Let us know how we at The Trevi Group can help you build a team that can handle that for your organization.

---

The Trevi Group | “Executive Search for Technology Professionals” | www.TheTreviGroup.com

#cloud #cloudcomputing #aws #azure #gcp #thetrevigroup #recruitingtrends #informationtechnology #employmenttrends #jobmarket #hiringtrends

Why Cybersecurity Talent Is Non-Negotiable for Modern Manufacturing—And How To Find It

Like all economic sectors, manufacturing has evolved rapidly as new technologies make it more agile and productive. While today’s factories still rely on blue-collar workers, they’re also powered by information technology (IT), the internet of things (IoT), artificial intelligence (AI), and operational tech. In many cases, you will find these and other technologies working side-by-side with human employees, helping companies reach their manufacturing targets while controlling costs.

These technologies are essential to ongoing success, but they might also create access points for cybercriminals who want to disrupt economies (whether for political purposes or just because they think it’s amusing). 

As we continue adding new tech to modern manufacturing, we must heed the words of David Carter, RSM Industrials Senior Analyst, “For industrial companies, cybersecurity is the new safety.”

Safety now includes protecting data stored in the cloud, trained AI models, and IoT connections. Even small mistakes could give hackers access to your systems. Finding the right cybersecurity staffing solutions can help resolve these threats.

Middle Market: A Snapshot of the Cyber Risk Landscape

Middle market manufacturers (those that are bigger than small businesses but smaller than large corporations) are common targets for hackers. In the first quarter of 2025, 18% of mid-market firms reported data breaches. While that’s down from last year’s record high of 28%, it still shows that companies need to take the threat seriously.

Thankfully, most businesses seem to understand the threat they face. That’s likely why 91% of them plan to increase cybersecurity spending over the next year.

Even with increased spending, choosing the right professionals to fill manufacturing cybersecurity jobs is essential. The tools you put in place can only work as well as the people managing them.

What This Means for Manufacturing Employers

As digital technology becomes increasingly essential to manufacturing processes and infrastructure, employers need to ensure that they have qualified professionals working for them. In the manufacturing industry, a data breach means more than bad PR. It causes downtime that prevents companies from reaching their production goals.

Sophisticated AI is a double-edged sword for the industry. While it can help companies discover more efficient processes and avoid equipment malfunctions, it also makes cybercrime easier. Today’s criminals don’t need to craft emails that trick employees into handing over sensitive information or downloading malware. The criminals can just ask generative AI tools to write emails for them. Since these cybercriminals can scale their attacks, you need staff members trained to recognize, avoid, and report threats.

You might have already taken steps to protect your data, but it’s never a good idea to get complacent. Hackers will keep looking for new ways to target victims, so manufacturers need effective cybersecurity recruitment strategies that choose lifelong learners eager to stay ahead of attackers. The second you think you have cybersecurity under control is the exact moment you become an easy target.

Strategic Talent Moves for Hiring Leaders

Hiring cybersecurity talent in manufacturing is an obvious requirement for businesses of all sizes. But there are a lot of factors to consider before you bring someone onto your team.

When hiring IT and cybersecurity leaders, you should:

• Look for candidates who understand manufacturing technology as well as information technology

• Consider whether candidates have experience working with managed services to bridge skill gaps your in-house staff can’t cover

• Focus on candidates who understand that cybersecurity protocols are just as essential to workplace safety as helmets, gloves, and OSHA requirements

How The Trevi Group Can Help Improve Your Cybersecurity

Manufacturing relies on digital technology now more than ever. These tools make companies more efficient, but they also open doors to cyberthreats. Every owner and manager needs to take these threats as seriously as they take safety guidelines on the production floor.

Of course, needing cybersecurity experts doesn’t necessarily mean that your HR team has the experience or ability to find those professionals. That’s why it makes sense for companies to partner with The Trevi Group.

The Trevi Group works with nationwide manufacturing staffing experts who can find, recruit, and onboard the talent your business needs. Whether you employ 10 or 1,000 workers, The Trevi Group can find cybersecurity professionals who fit your needs.

---

The Trevi Group | “Executive Search for Technology Professionals” | www.TheTreviGroup.com

#security #cybersecurity #thetrevigroup #recruitingtrends #informationtechnology #employmenttrends #jobmarket #hiringtrends